ContentsGlossary

Reference

Glossary

The terms introduced in the book, with a link to where each one is explained in full.

Dynamic Knowledge Rendering (DKR)

Dynamic Knowledge Rendering (DKR) is the process of delivering information to suit individual requirements. Using AI, the same knowledge is reshaped into the form, length and style that suits one person at one moment.

Introduced in Introduction

Hyper-personalisation

Personalisation in which nothing is pre-made: content is generated for one person, at one moment, in one modality, only after every aspect of their preferences and context is considered.

Introduced in Personalisation

Attention scope

How long a person gives their best attention in a given modality, and the markers that keep it, such as short factual narration for one person or first-person language for another.

Introduced in Attention

Preference Prompts

Natural-language statements that build a personalisation profile, such as “I love listening to jazz whilst working out”. They can be factual, context-based or emotional.

Introduced in Personalisation

Derived Preference Prompts

Preference Prompts created by other systems from your behaviour, such as a music service noting that you always skip a certain song. They become Preference Prompts once you confirm them.

Introduced in Personalisation

Shared Preference Prompts

Rules for shared experiences that override personal preferences, such as “the ball has to remain a ball”, so that people can still share and discuss the same event.

Introduced in Personalisation

Preference Exchange Protocol (PEP)

A protocol for sharing preference data between digital entities. A website and a visitor’s doppelganger greet each other, the website states its persona, then requests the preferences it needs to tailor the experience.

Introduced in Dynamic Rendering

Digital doppelganger (DDG)

An AI counterpart that mirrors human behaviours, decisions and processes, acting as an intermediary between people and technology. Doppelgangers are either representative or assistive.

Introduced in Digital Doppelganger

Representative doppelganger

A doppelganger that holds knowledge about an asset, such as an employee handbook, and makes previously static information conversational.

Introduced in Digital Doppelganger

Assistive doppelganger

A doppelganger that acts as a proxy for a person, aligned with their preferences and objectives, like a chief of staff who knows that “get me a drink” means a hot chocolate with almond milk.

Introduced in Digital Doppelganger

Information seeding

The one-off step of giving a new doppelganger its source information, such as documents, emails or calendars, to form its base personality.

Introduced in Digital Doppelganger

Conversational modelling

The ongoing dialogue through which a doppelganger develops its knowledge model by asking questions of people and other doppelgangers.

Introduced in Digital Doppelganger

Knowledge model

The layer of a doppelganger that organises, interprets and uses its information, evolving as it interacts with its environment and users.

Introduced in Digital Doppelganger

Truth graph

A network of information points and relationships that validates a doppelganger’s output, keeping it accurate, current and verifiable, and countering AI hallucinations.

Introduced in Digital Doppelganger

Presentation model

The layer that shapes how information is delivered, optimising for the user’s preferences, context and modality.

Introduced in Digital Doppelganger

Safety controls

The layer that protects privacy, enforces ethical decision-making and prevents misuse or harmful inputs and outputs.

Introduced in Digital Doppelganger

Digital brain

A network of interlinked digital doppelgangers within an organisation, family or community that collaborate to complete tasks, with clear ownership and access control.

Introduced in Digital Brain

Shouting

When a doppelganger broadcasts a request across a digital brain. Any doppelganger can answer, point to a better source or reframe the question.

Introduced in Digital Brain

Doppelganger Security Exchange (DSE)

A permission mechanism, similar to signing in with a Google or Apple account, that lets doppelgangers in different networks exchange specific information.

Introduced in Digital Brain

Context data

The metadata surrounding a request, such as location, time, calendar, device, budget, company and how the request was made.

Introduced in Dynamic Rendering

Temporal scope

The timing and duration of an event, such as booking a restaurant for 8pm in a 20-second interaction, used to judge how concise and timely a response should be.

Introduced in Dynamic Rendering

Modality signifiers

The characteristics that define how well a format works, such as tone and length for text, tempo for audio, colour palette for images, and pace for video.

Introduced in Dynamic Rendering

Universal Domain Document (UDD)

A document used to pass structured information between doppelgangers, other systems and legacy software. It pairs a Domain Document holding the data with a Meta Document describing its structure.

Introduced in Dynamic Rendering

Meta Document (UMD)

The descriptive half of a Universal Domain Document, setting out the content, structure and format of the Domain Document so it can be created and translated.

Introduced in Dynamic Rendering